subscore.sx {subscore} | R Documentation |
Computing subscores using Haberman's method based on both observed total scores and observed subscores.
Description
This function estimate true subscores based on both observed total scores and observed subscores using the method introduced by Haberman (2008) <doi:10.3102/1076998607302636>.
Usage
subscore.sx(test.data)
Arguments
test.data |
A list that contains item responses of all subtests and the entire test, which can be obtained using function 'data.prep'. |
Value
summary |
Summary of obtained subscores (e.g., mean, sd). |
PRMSE |
PRMSEs of obtained subscores (for Haberman's methods only). |
subscore.original |
Original observed subscores and total score. |
subscore.sx |
Subscores that are estimated based on both the observed total score and observed subscore. |
References
Haberman, S. J. (2008). "When can subscores have value?." Journal of Educational and Behavioral Statistics, 33(2), 204-229. doi:10.3102/1076998607302636.
Examples
test.data<-data.prep(scored.data,c(3,15,15,20),
c("Algebra","Geometry","Measurement", "Math"))
subscore.sx(test.data)
subscore.s(test.data)$Correlation
subscore.s(test.data)$Disattenuated.correlation
subscore.sx(test.data)$summary
subscore.sx(test.data)$PRMSE
subscore.sx(test.data)$subscore.sx
[Package subscore version 3.3 Index]